Change Log

All notable changes to this project will be documented in this file. This change log follows the conventions of keepachangelog.com.

[0.3.4] - 2022-12-03

• Fixes a bug which could cause incorrect assignment of points to clusters.
• Expands unit test coverage.

[0.3.1] - 2022-11-28

• Updated documentation to reflect usage.
• Improved ease of use - defaults for chain length chosen automatically when not provided.
• Expanded test coverage with generative testing.
• Added support for saving and loading learned models.
• Assignments when calling k-means-seq no longer overwrite each other.
• Add .load-assignments and .classify to ClusterResult.

[0.1.5] - 2022-06-08

• Now support the mc^2 initialization method.
• Now support the afk mc^2 initialization method.

[0.1.4] - 2022-05-28

• Default calling convention now runs multiple instances of k means clustering.
• k-means can now be called with an option to specify which distance function to use.
• k-means now supports many different distance functions.

[0.1.3] - 2022-05-25

• Now supporting initialization via k-means++.
• Now supporting initialization via k-means||.
• Now supporting initialization via k-means||.
• Now supporting initialization via naive uniform sampling.
• k-means can now be called with options to determine the initialization method.
• Now supporting parquet format.
• Now supporting arrow format.
• Now supporting arrows format.
• k-means can now be called with options to determine preferred file format.
• Added logs to help make progress of computations more obvious.
• Added the initialize-centroids multimethod; choice of initialization method can now be controlled by callers via multimethods.
• Now support calling k-means with lazyseqs which are ->dataset compatible.

[0.1.2] - 2022-05-09

• Fixed an issue with processing large datasets by moving from arrow files to arrows IPC format.
• Rebranded from clj-kmeans to josh.meanings, because I like the name meanings but figure I should namespace it.

[0.1.1] - 2022-05-06

Changed

• Dramatically improved performance on large datasets accomplished by switching from buffered csv reading to optimized tech.ml.dataset usage.

[0.1.0] - 2022-05-01

Added

• Initial project created with support for k-means clustering on larger than memory datasets.
• Only configuration provided is choice of k. Distance function used is earth mover distance.